--- license: cc-by-nc-4.0 base_model: facebook/nllb-200-distilled-600M tags: - generated_from_trainer metrics: - bleu model-index: - name: NLLB_Egyptian_Arabic_to_English2ndtrial results: [] --- # NLLB_Egyptian_Arabic_to_English2ndtrial This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.5109 - Bleu: 29.2435 - Gen Len: 20.1719 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 1.1276 | 1.0 | 1562 | 1.5169 | 28.5953 | 20.0669 | | 1.0039 | 2.0 | 3124 | 1.5109 | 29.2435 | 20.1719 | ### Framework versions - Transformers 4.40.2 - Pytorch 2.2.1+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1